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作者:

Zhao, Xiaohua (Zhao, Xiaohua.) | Ding, Han (Ding, Han.) | Lin, Zhanzhou (Lin, Zhanzhou.) | Ma, Jianming (Ma, Jianming.) | Rong, Jian (Rong, Jian.) (学者:荣建)

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摘要:

Longitudinal speed reduction markings (LSRMs) are designed to alert drivers to an upcoming change in roadway geometry (e.g. direct connectors with smaller radii). In Beijing, LSRMs are usually installed on direct connectors of urban expressways. The objective of this paper is to examine the influence of LSRMs on vehicle operation and driver behavior, and evaluate the decelerating effectiveness of LSRMs on direct connectors with different radii. Empirical data were collected in a driving simulator, and indicators representing vehicle operation status and driving behavior were proposed. To examine the influence of LSRMs, an analysis segment was defined, which begins 500 m prior to the entering point of the connector and ends at the exiting point of the connector. Furthermore, the analysis segment was evenly divided into a series of subsections; the length of each subsection is 50 m. This definition is introduced based on the assumption that drivers would decelerate smoothly in advance of the connector. The analysis results show that drivers tend to decelerate earlier when the radii were 200 m or 300 m. When approaching the connector, drivers tend to decelerate at 500 m thru 250 m in advance of the connector with a 200 m radius; deceleration happens at 300 m-0 m in advance of the connector with a 300 m radius. On the connector, drivers controlled the throttle pedal use at 100 thru 300 m after the entering point when the radius was 200 m; deceleration occurred in two regions when the radius was 300 m: 0 m-900 m from the entering point, and the last 1,000 m of the connector. The analytical results further revealed that LSRMs would be effective at reducing speeds when the radius of the direct connector was 300 m.

关键词:

Direct connector Driving simulation Effectiveness Longitudinal speed reduction markings Traffic safety

作者机构:

  • [ 1 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Zhanzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Rong, Jian]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Ding, Han]Minist Transport, Res Inst Highway, 8 Xitucheng Rd, Beijing 100088, Peoples R China
  • [ 5 ] [Ma, Jianming]Texas Dept Transportat, Traff Operat Div, Austin, TX 78701 USA

通讯作者信息:

  • [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China

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来源 :

ACCIDENT ANALYSIS AND PREVENTION

ISSN: 0001-4575

年份: 2018

卷: 115

页码: 41-52

ESI学科: SOCIAL SCIENCES, GENERAL;

ESI高被引阀值:45

JCR分区:1

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 33

ESI高被引论文在榜: 0 展开所有

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